SOTAVerified

Super-Resolution

Super-Resolution is a task in computer vision that involves increasing the resolution of an image or video by generating missing high-frequency details from low-resolution input. The goal is to produce an output image with a higher resolution than the input image, while preserving the original content and structure.

( Credit: MemNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2476–2500 of 3874 papers

TitleStatusHype
Cascaded Diffusion Models for High Fidelity Image Generation—0
Beyond the Spectrum: Detecting Deepfakes via Re-SynthesisCode1
Blind Motion Deblurring Super-Resolution: When Dynamic Spatio-Temporal Learning Meets Static Image Understanding—0
CogView: Mastering Text-to-Image Generation via TransformersCode2
Permutation invariance and uncertainty in multitemporal image super-resolutionCode1
Low Resolution Information Also Matters: Learning Multi-Resolution Representations for Person Re-Identification—0
High-Frequency aware Perceptual Image Enhancement—0
Unpaired Depth Super-Resolution in the WildCode0
Towards Compact Single Image Super-Resolution via Contrastive Self-distillationCode1
Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution—0
MIASSR: An Approach for Medical Image Arbitrary Scale Super-ResolutionCode1
Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile DevicesCode1
Combining Transformer Generators with Convolutional Discriminators—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
Content-adaptive Representation Learning for Fast Image Super-resolution—0
Anchor-based Plain Net for Mobile Image Super-ResolutionCode1
Multi-Contrast MRI Super-Resolution via a Multi-Stage Integration NetworkCode1
XCycles Backprojection Acoustic Super-Resolution—0
Automated Symbolic Law Discovery: A Computer Vision Approach—0
Improved detection of small objects in road network sequences—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report—0
Parallel and Flexible Sampling from Autoregressive Models via Langevin DynamicsCode1
Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: ReportCode1
Show:102550
← PrevPage 100 of 155Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1super-resolutionAverage PSNR20.41—Unverified